Triple
T13439206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Little |
E320309
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object |
Snowbell
Snowbell is the sardonic pet cat in the "Stuart Little" series, known for his humorous love-hate relationship with the mouse protagonist.
|
E1040467
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Snowbell | Statement: [Stuart Little, friend, Snowbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowbell Context triple: [Stuart Little, friend, Snowbell]
-
A.
Bellflower
Bellflower is a suburban city in southeastern Los Angeles County, California, known for its residential neighborhoods and proximity to major urban centers in the Los Angeles metropolitan area.
-
B.
Phlox
Phlox is the Denobulan chief medical officer aboard the starship Enterprise in the television series "Star Trek: Enterprise."
-
C.
Snowdrops
Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
-
D.
Bluebell
Bluebell is a suburban area on the southwest side of Dublin, Ireland, known for its residential neighborhoods and light industrial estates.
-
E.
Primula Rollo
Primula Rollo was the first wife of British actor David Niven, remembered for their marriage and her tragic accidental death in 1946.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Snowbell Triple: [Stuart Little, friend, Snowbell]
Generated description
Snowbell is the sardonic pet cat in the "Stuart Little" series, known for his humorous love-hate relationship with the mouse protagonist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snowbell Target entity description: Snowbell is the sardonic pet cat in the "Stuart Little" series, known for his humorous love-hate relationship with the mouse protagonist.
-
A.
Bellflower
Bellflower is a suburban city in southeastern Los Angeles County, California, known for its residential neighborhoods and proximity to major urban centers in the Los Angeles metropolitan area.
-
B.
Phlox
Phlox is the Denobulan chief medical officer aboard the starship Enterprise in the television series "Star Trek: Enterprise."
-
C.
Snowdrops
Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
-
D.
Bluebell
Bluebell is a suburban area on the southwest side of Dublin, Ireland, known for its residential neighborhoods and light industrial estates.
-
E.
Primula Rollo
Primula Rollo was the first wife of British actor David Niven, remembered for their marriage and her tragic accidental death in 1946.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399215bc8190b846906b0f081e7f |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73bd79b8c8190bf91865e22bd41d0 |
completed | May 3, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73c45b0748190ab9b1b524d206c0d |
completed | May 3, 2026, 12:15 p.m. |
Created at: April 9, 2026, 9:40 p.m.